Deep Learning for Biomedical Data

EPI 290 Subject & Catalog Number

Description

Deep learning is a type of machine learning method that employs many layers of data representations to capture the characteristics of the input data at different levels. It is inspired by the organization of neurons in organisms and has shown superior performance in image classification, natural language processing, and predicting of gene functions. In this class, we will introduce the basic concepts of deep neural networks and GPU computing, discuss convolutional neural networks and recurrent neural networks structures, and examine a few biomedical applications. Students are expected to be familiar with linear algebra and machine learning and will participate in a group deep learning project.

Learning Goals

- Understand the state of the art deep learning algorithms

- Understand the pros and cons of different approaches

- Implement deep machine learning applications using cloud GPU servers

- Become familiar with ways to optimize deep learning methods for biomedical applications

- Appreciate the strengths and limitations of deep learning applications